Adversarial Code Review

SkillDev tools

Adversarial code review using attacker mindset — trust boundary, attack surface, business logic, and defense evaluation

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Adversarial Code Review skill

What this skill tells your AI

The instructions your AI receives, as published by baekenough/oh-my-customcode in .claude/skills/adversarial-review/SKILL.md and read by ahel’s review.

Review code from an attacker's perspective using STRIDE + OWASP frameworks.

4-Phase Review Process

Phase 1: Trust Boundary Analysis

Identify where trust transitions occur:

  • External input reaching internal logic without validation → Tampering
  • Implicit trust between services → Elevation of Privilege
  • Shared storage without isolation → Information Disclosure
  • Authentication boundaries not clearly marked → Spoofing

Output: [TRUST-BOUNDARY] findings with location, threat type, and current validation level.

Phase 2: Attack Surface Mapping

Map all entry points and exposure:

  • Public API endpoints and auth requirements
  • File upload/download paths → Path traversal risk
  • External system calls (URLs, queries) → SSRF/Injection
  • Event handlers and callbacks → Race conditions
  • Error message verbosity → Information Disclosure

Output: [ATTACK-SURFACE] table with endpoint, exposure level, and mitigation status.

Phase 3: Business Logic Review

Analyze logic flaws that static analysis misses:

  • State machine violations (skip steps, replay)
  • Authorization != authentication (authn ok but authz missing)
  • Race conditions in multi-step operations
  • Numeric overflow/underflow in financial calculations
  • Default-allow vs default-deny patterns

Output: [LOGIC-FLAW] findings with exploitation scenario and impact.

Phase 4: Defense Evaluation

Assess existing defense mechanisms:

  • Input validation completeness (allowlist vs blocklist)
  • Output encoding consistency
  • Rate limiting and abuse prevention
  • Logging coverage for security events
  • Secret management (hardcoded credentials, env leaks)

Output: [DEFENSE-GAP] findings with recommendation.

Output Format

For each finding:

[CATEGORY] Severity: HIGH|MEDIUM|LOW
Location: file:line
Finding: Description
Attack: How an attacker would exploit this
Fix: Recommended remediation

Depth Modes

  • quick: Phase 1 + 2 only (trust boundaries + attack surface)
  • thorough: All 4 phases with detailed exploitation scenarios

Integration

  • Complements dev-review (best practices) with attacker perspective
  • Works with sec-codeql-expert for pattern-based + logic-based coverage
  • Can be chained: dev-reviewadversarial-review for complete coverage
  • Works with action-validator for action-space legality checking

Action-Space Legality (AutoHarness Pattern)

  • Do agents only call tools within their declared tools frontmatter?
  • Do file operations stay within R002-declared access scope?
  • Are domain boundaries respected (backend agent not editing frontend files)?
  • Could an agent's task contract be tightened without losing functionality?

CRG Integration (Optional Token-Efficiency)

공격 표면 분석에 crg-integration 스킬을 우선 호출하여 트러스트 boundary를 빠르게 매핑한다:

PhaseCRG ToolPurpose
Attack surfaceget_impact_radius보안 변경의 영향 추적 (recall-우선)
Caller analysisquery_graph신뢰 boundary 함수의 모든 caller 추적
Diff focusget_minimal_context보안 변경의 최소 review unit
Regression detectdetect_changes보안 의미 변경 감지

Fallback (CRG 미설치 시)

CRG MCP 미연결 시 sec-codeql-expert + grep 조합으로 fallback. CRG의 recall-우선 특성 보완 위해 sec-codeql-expert (precision-우선)와 병행 권장.

R013 Ecomode 정합

대규모 변경 PR (>50 lines) 또는 context >= 60% 시 CRG 호출 권장.

Refs: #1171 (CRG 통합), #1180 (본 cross-ref 추가)

Permission Mode

When spawning agents via the Agent tool during this skill's execution, always pass mode: "bypassPermissions". The Agent tool default (acceptEdits) overrides agent frontmatter permissionMode, causing permission prompts during unattended execution.

Signals

GitHub stars
34
Forks
6
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
adversarial-review-baekenough
Source
github.com/baekenough/oh-my-customcode